Abstract
Clinical practice guidelines are medical and surgical statements to assist practitioners in the therapy procedure. Recently, the concept computer-interpretable guideline (CIG) has been introduced to describe formal descriptions of clinical practice guidelines. Ordered time-independent one-visit CIGs are a sort of CIG wich are able to cope with the description and use of real therapies. Here, this representation model and a machine learning algorithm to construct such CIGs from the hospital databases or from predefined CIGs are introduced and tested within the domain of attrial fibrillation.
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Riaño, D. (2004). Ordered Time-Independent CIG Learning. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds) Biological and Medical Data Analysis. ISBMDA 2004. Lecture Notes in Computer Science, vol 3337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30547-7_13
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DOI: https://doi.org/10.1007/978-3-540-30547-7_13
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